Medmain Speaks

~Official Blog~

Introduction to Pathology vol.1

Learn about the types of "pathological diagnosis”

Hello! This is Naoko from in recruitment / public relations team at Medmain. In this blog “Medmain Speaks”, you can find interviews with our members, company news and so on but we also would like to write a series of articles about pathology, as it is the most related area of our service. The terms such as “Pathology” “Pathologist” may not be well known generally. Today, I would like to introduce you some types of “pathology”.

Posted by Naoko Tuesday, March 31, 2020

Focus on the “Medmainer” - Kengo Tateishi

Kengo Tateishi - AI/SoftwareEngineer

Focus on the “Medmainer” - Today, we would like to spotlight one of our members from the engineering team. As an engineer, he has always held an eager-to-learn mentality and inquiring spirit. How did he join Medmain? Let’s see his story!

Posted by Naoko Kajio Monday, March 23, 2020

Medmain Inc. launches “PidPort”, A Digital Pathology Platform

Medmain Inc. a Japanese health tech startup has launched its service “PidPort, a platform service for pathological image diagnosis, which includes Deep Learning driven pathological analysis.

Posted by Naoko Monday, March 9, 2020

Focus on the “Medmainer” - Adam Millerchip

Adam Millerchip - Software Engineer

Focus on the members who work in the engineering dept. at Medmain. What's the story behind Adam's decision to join Medmain as an engineer who has international work experience?

Posted by Naoko Monday, March 2, 2020

Deep Learning Models to Classify Epithelial Tumours of Stomach and Colon for Supporting Routine Histopathological Diagnosis

Integrating artificial intelligence (AI) within the computational pathology workflow would be of high benefit for easing the ever increasing workloads on pathologists, especially in regions that have shortages in access to pathological diagnosis services

How it started? According to global cancer statistics, stomach and colon cancers are amongst the most common leading causes of cancer deaths in the world, with stomach cancer ranking fourth in men and seventh in women, and colon cancer ranking third in men and second in women. Histopathological classification of gastric and colonic epithelial tumours is one of the routine pathological diagnosis tasks for pathologists. Computational pathology techniques based on Artificial intelligence (AI) would be of high benefit in easing the ever increasing workloads on pathologists, especially in regions that have shortages in access to pathological diagnosis services.

Posted by Masayuki Tsuneki Wednesday, February 26, 2020